An Emotion-oriented Music Recommendation Algorithm Fusing Rating and Trust
An Emotion-oriented Music Recommendation Algorithm Fusing Rating and Trust
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DOI：
10.1080/18756891.2013.865405
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发表时间：
2014-05
期刊：
影响因子：
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通讯作者：
Jiwei Qin;Q. Zheng;Feng Tian;Deli Zheng
中科院分区：
文献类型：
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作者：
Jiwei Qin;Q. Zheng;Feng Tian;Deli Zheng
摘要随着音乐的大量涌现，要找到一首适合处于某种情感状态的听众口味的音乐已变得很难。针对收听者的情感状态，提出了一种面向情感的音乐推荐算法。首先，通过评价值和信任值计算收听者的相似度。更具体地，基于评级的数量，设置两个阈值，以扩展收听者相似性权重的计算策略，以选择性地使用信任值和与评级值的相关性。第二，因为音乐和听者的情绪状态是不同的对象，没有明显的方法将两者匹配起来。通过引入听者对音乐情感内涵的偏好，弥合了音乐与听者之间的差距，解决了如何将听者的情感与音乐相匹配的问题。最后，考虑到听众对音乐内容感知的差异性和音乐内容的复杂性，
AbstractWith the overwhelming increase of music, it has become difficult to find music which suits the taste of a listener who is in a certain state of emotion. Focusing on the listener's emotional state, this paper presents an emotion-oriented music recommendation algorithm. First, the listener's similarity is calculated by the rating value and the trust value. More specifically, based on the number of ratings, two thresholds are set to extend the calculation strategy of listener similarity weight to selectively use the trust value and correlation to the rating value. Second, because the music and the listener's emotional state are different objects, there is no obvious way to match one with the other. The listener's preference for emotional connotation of music is introduced to bridge the gap between the music and the listener, and that solves the issue of how to match the listener's emotion with music. Lastly, considering the difference of listener's perception of musical content and the complexity of ...